In this paper, we propose a new effective estimator for a class of semiparametric mixture
models where one component has known distribution with possibly unknown parameters …

We study a two-component semiparametric mixture model where one component
distribution belongs to a parametric class, while the other is symmetric but otherwise …

We present a novel fuzzy clustering technique called CRUDAW that allows a data miner to
assign weights on the attributes of a data set based on their importance (to the data miner) …

Sequential data modeling and analysis have become indispensable tools for analyzing
sequential data, such as time-series data, because larger amounts of sensed event data …

In this paper we present a novel clustering technique called Seed-Detective. It is a
combination of modified versions of two existing techniques namely Ex-Detective and …

Analysis of sequential event data has been recognized as one of the essential tools in data
modeling and analysis field. In this paper, after the examination of its technical requirements …

In this paper, we investigate methods of estimating the mixing proportion in the case when
one of the probability densities is not specified analytically in a mixture model. The …

In Part I, we construct the minimum profile Hellinger distance (MPHD) estimator for a class of
semiparametric mixture models where one component has known distribution with possibly …

聚类是识别基因表达数据蕴含的关键基因调控模块的一种有效方法, 基因表达谱的相似性度量是
聚类的关键问题. 然而, 一般的相似性度量方法不能刻画时间序列基因表达谱数据所蕴含的时间 …

Abstract O Agrupamento Relacional Difuso é uma área de estudo recente que se encontra
em crescimento. Novos algoritmos têm sido desenvolvidos, como o FastMap Fuzzy c-Means …